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Sabine Landau

Sabine Landau

  • Academics
  • Supervisors

Professor of Biostatistics

Research subject areas

  • Biomedical and life sciences

Contact details


I am Professor of Biostatistics at the Institute of Psychiatry, Psychology and Neuroscience and Deputy Head of the Department of Biostatistics and Health Informatics. I joined the then Institute of Psychiatry in 1997 after starting my research career in agricultural research. I hold a BSc/MSc in Statistics from the University of Dortmund, Germany and previously worked in a project on agricultural sustainability at the Institute of Arable Crops Research - Rothamsted, Harpenden, followed by a PhD at the University of Nottingham in the areas of crop modelling and spatial statistics.

Since joining King’s I have been involved in applied health research with a focus on the development and evaluation of interventions to improve mental health. In addition to extensive experience in applying modern statistical methods in clinical or behavioural research I am involved with the development of relevant methodologies. My methodological research interest is in the field of causal inference, in particular for the evaluation of the efficacy and mechanisms of complex interventions in mental health. During sabbatical in 2010 I was a visiting scientist/reader at the MRC Biostatistics Unit at the University of Cambridge and the University of Manchester.

As part of my affiliation with the King’s Clinical Trials Unit I serve as senior statistician on a number of trials. Within the department I lead the Causal Modelling and Evaluation research theme. I am co-lead for Economics and Biostatistics in the NIHR Applied Research Collaboration South London and also a member of the NIHR Maudsley Biomedical Research Centre and the Mental Health Policy Research Unit.

I have co-authored the books “A handbook of Statistical Analyses using SPSS” (Chapman and Hall/CRC, 2004) and “Cluster Analysis” (Wiley, 2001, 2011).

Research interests

  • Design and analysis of trials of complex interventions
  • Causal mediation analysis
  • Methods for process evaluation
  • Trial emulation using routinely collected data
  • Real-world evidence
  • Rapid evaluation methods including quasi-experimental methods
  • Individual participant data meta-mediation and moderation analyses


  • Causal Modelling and Evaluation (module lead), MSc Applied Statistical Modelling and Health Informatics
  • Multilevel and Longitudinal Modelling, MSc Applied Statistical Modelling and Health Informatics
  • Clinical Trials: Conduct and Analysis, MSc Applied Statistical Modelling and Health Informatics
  • Research Methods and Statistics (3A and 3B, co-module lead), MSc Forensic Mental Health

Expertise and public engagement

I am a member of the NIHR Advanced Fellowship Selection Committees and the MRC Better Methods, Better Research Panel. I am the Associate Editor for Statistics of the Journal of Child Psychology and Psychiatry.